7 research outputs found

    Low-Light Shadow Imaging using Quantum-Noise Detection with a Camera

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    We experimentally demonstrate an imaging technique based on quantum noise modification after interaction with an opaque object. By using a homodyne-like detection scheme, we eliminate the detrimental effect of the camera's dark noise, making this approach particularly attractive for imaging scenarios that require weak illumination. Here, we reconstruct the image of an object illuminated with a squeezed vacuum using a total of 800 photons, utilizing less than one photon per frame on average

    Quantum-Limited Squeezed Light Detection with a Camera

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    We present a technique for squeezed light detection based on direct imaging of the displaced-squeezed-vacuum state using a CCD camera. We show that the squeezing parameter can be accurately estimated using only the first two moments of the recorded pixel-to-pixel photon fluctuation statistics, with accuracy that rivals that of the standard squeezing detection methods such as a balanced homodyne detection. Finally, we numerically simulate the camera operation, reproducing the noisy experimental results with low signal samplings and confirming the theory with high signal samplings.Comment: 5 pages, 4 figures, supplemental information included, comments are very welcom

    Wave-front reconstruction via single-pixel homodyne imaging

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    We combine single-pixel imaging and homodyne detection to perform full object recovery (phase and amplitude). Our method does not require any prior information about the object or the illuminating fields. As a demonstration, we reconstruct the optical properties of several semi-transparent objects and find that the reconstructed complex transmission has a phase precision of 0.02 radians and a relative amplitude precision of 0.01. &nbsp;</p

    Quantum Noise Imaging using Quadrature Squeezed Vacuum Optical Fields

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    We propose imaging techniques that utilized quantum fluctuation analysis of a squeezed vacuum field to image opaque objects at low-photon environment. Our method uses a CCD camera-based homodyne detection, allowing noise quadrature selection
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